并行存储系统

在2008年，Roadrunner并行存储系统能够维持数百GB每秒的速率。

In2008 , the Roadrunner parallel storage system can sustain hundreds of gigabytes per second .

基于Ray-casting算法的并行存储系统

Parallel Memory System Based on Ray-casting Algorithm

分片式流处理器数据并行存储系统的设计与实现

Design and Implementation of Data-Parallel Memory System for Tiled Stream Processor

高速多体并行存储系统电路设计

Circuit Design of High-Speed Multi-Bank Memory System

论文的研究工作着眼于分片式流处理器的数据并行存储系统的分析、设计和实现。

This dissertation focuses on the analysis , design and implementation of data-parallel memory system for Tiled Stream Processor .

基于对现阶段存储系统量化研究各种方法的优缺点考察的基础上，针对磁盘阵列这一较复杂的并行存储系统展开性能分析与评价。

Based on analysis the advantage and disadvantage of various ways that are used for performance study , we start our analysis and evaluation of performance .

新兴的对象存储结构能够利用现有的处理技术、网络技术和存储组件提供空前的可伸缩性和聚合吞吐量，为构建新一代的大规模并行存储系统提供了基础。

The object-based storage architecture is emerging as the foundation for building massively parallel storage systems that leverage commodity processing , networking and storage components to deliver unprecedented scalability and aggregate throughput .

从提高片外带宽使用率的角度出发，设计和实现了分片式流处理器的数据并行存储系统。

Thirdly , based on the consideration of improving the utilizing efficiency of off-chip bandwidth , we have designed and implemented a data-parallel memory system for our Tiled Stream Processor in current project .

我们借助基于序列特征挖掘技术的I/O特征预测算法，设计了并行混合存储系统自治预取和对象迁移机制，通过模拟实验验证了并行混合存储结构及自治预取机制的有效性。

We have also proposed the mechanism for adaptive prefetching and object migration in Parallel Hybrid Storage System with the help of I / O pattern prediction algorithm in mining technique based on sequential pattern .

数据并行协处理器存储系统的研究与实现

Research and Implementation of the Data Parallel Coprocessor Memory System

通过视频数据的并行实时存储子系统、基于B/S的视频数据管理子系统和视频数据的回放3个子系统的独立和协同作用，实现对多路交通监控视频数据的实时存储及管理。

By means of the cooperation of the three independent subsystems including the real time parallel storing subsystem , the B / S-based video data management subsystem and the video browsing subsystem , it is realized to store and manage tremendous multi-video data .